Prevalence of substandard and falsified artemisinin-based combination antimalarial medicines on Bioko Island, Equatorial Guinea

Introduction Poor-quality artemisinin-containing antimalarials (ACAs), including falsified and substandard formulations, pose serious health concerns in malaria endemic countries. They can harm patients, contribute to the rise in drug resistance and increase the public’s mistrust of health systems. Systematic assessment of drug quality is needed to gain knowledge on the prevalence of the problem, to provide Ministries of Health with evidence on which local regulators can take action. Methods We used three sampling approaches to purchase 677 ACAs from 278 outlets on Bioko Island, Equatorial Guinea as follows: convenience survey using mystery client (n=16 outlets, 31 samples), full island-wide survey using mystery client (n=174 outlets, 368 samples) and randomised survey using an overt sampling approach (n=88 outlets, 278 samples). The stated active pharmaceutical ingredients (SAPIs) were assessed using high-performance liquid chromatography and confirmed by mass spectrometry at three independent laboratories. Results Content analysis showed 91.0% of ACAs were of acceptable quality, 1.6% were substandard and 7.4% falsified. No degraded medicines were detected. The prevalence of medicines without the SAPIs was higher for ACAs purchased in the convenience survey compared with the estimates obtained using the full island-wide survey-mystery client and randomised-overt sampling approaches. Comparable results were obtained for full island survey-mystery client and randomised overt. However, the availability of purchased artesunate monotherapies differed substantially according to the sampling approach used (convenience, 45.2%; full island-wide survey-mystery client, 32.6%; random-overt sampling approach, 21.9%). Of concern is that 37.1% (n=62) of these were falsified. Conclusion Falsified ACAs were found on Bioko Island, with the prevalence ranging between 6.1% and 16.1%, depending on the sampling method used. These findings underscore the vital need for national authorities to track the scale of ineffective medicines that jeopardise treatment of life-threatening diseases and value of a representative sampling approach to obtain/measure the true prevalence of poor-quality medicines.

[1]  H. Kaur,et al.  Anti-malarial medicine quality field studies and surveys: a systematic review of screening technologies used and reporting of findings , 2017, Malaria Journal.

[2]  N. White Can new treatment developments combat resistance in malaria? , 2016, Expert Opinion on Pharmacotherapy.

[3]  Paul N Newton,et al.  A link between poor quality antimalarials and malaria drug resistance? , 2016, Expert review of anti-infective therapy.

[4]  D. V. van Schalkwyk,et al.  Degradation of Artemisinin-Based Combination Therapies under Tropical Conditions , 2016, The American journal of tropical medicine and hygiene.

[5]  A. Kwa,et al.  Polymyxin B versus colistin: an update , 2015, Expert review of anti-infective therapy.

[6]  F. Fernández,et al.  Quality of Antimalarials at the Epicenter of Antimalarial Drug Resistance: Results from an Overt and Mystery Client Survey in Cambodia , 2015, The American journal of tropical medicine and hygiene.

[7]  Act Consortium Drug Quality Project Team And The I Quality of Artemisinin-Containing Antimalarials in Tanzania's Private Sector—Results from a Nationally Representative Outlet Survey , 2015, The American journal of tropical medicine and hygiene.

[8]  J. Breman,et al.  The Global Pandemic of Falsified Medicines: Laboratory and Field Innovations and Policy Perspectives , 2015, The American journal of tropical medicine and hygiene.

[9]  F. Fernández,et al.  Quality of Artemisinin-Based Combination Formulations for Malaria Treatment: Prevalence and Risk Factors for Poor Quality Medicines in Public Facilities and Private Sector Drug Outlets in Enugu, Nigeria , 2015, PloS one.

[10]  C. Chaccour,et al.  Falsified antimalarials: a minireview , 2015, Expert review of anti-infective therapy.

[11]  Jien-Wei Liu,et al.  Clinical features of and risk factors for rhabdomyolysis among adult patients with dengue virus infection. , 2015, The American journal of tropical medicine and hygiene.

[12]  T. Eckmanns,et al.  Tuberculosis in public ground transport – is there enough evidence to justify contact tracing? , 2015, Expert review of anti-infective therapy.

[13]  P. Newton,et al.  Falsified medicines in Africa: all talk, no action. , 2014, The Lancet. Global health.

[14]  D. Kwiatkowski,et al.  Spread of artemisinin resistance in Plasmodium falciparum malaria. , 2014, The New England journal of medicine.

[15]  Victor A Alegana,et al.  The changing risk of Plasmodium falciparum malaria infection in Africa: 2000–10: a spatial and temporal analysis of transmission intensity , 2014, The Lancet.

[16]  P. Newton,et al.  Ambient mass spectrometry technologies for the detection of falsified drugs , 2014 .

[17]  Patricia Tabernero,et al.  Mind the gaps - the epidemiology of poor-quality anti-malarials in the malarious world - analysis of the WorldWide Antimalarial Resistance Network database , 2014, Malaria Journal.

[18]  Prabha Dwivedi,et al.  Mass spectrometry: recent advances in direct open air surface sampling/ionization. , 2013, Chemical reviews.

[19]  H. Overgaard,et al.  Malaria transmission after five years of vector control on Bioko Island, Equatorial Guinea , 2012, Parasites & Vectors.

[20]  C. Chaccour,et al.  Travel and fake artesunate: a risky business , 2012, The Lancet.

[21]  Paul N Newton,et al.  Poor-quality antimalarial drugs in southeast Asia and sub-Saharan Africa. , 2012, The Lancet. Infectious diseases.

[22]  P. Newton,et al.  Poor quality vital anti-malarials in Africa - an urgent neglected public health priority , 2011, Malaria Journal.

[23]  P. Newton,et al.  Guidelines for Field Surveys of the Quality of Medicines: A Proposal , 2009, PLoS medicine.

[24]  S. Pocock,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. , 2007, Preventive medicine.